It looks like you're encountering an issue with Jenkins where the agent node is not being found or scheduled. The error message 'Jenkins' doesn’t have label ‘jenkins-agent’ suggests that the Jenkins master does not have an agent or node configured with the jenkins-agent label.

Here are a few things you can try:

1. Check for Node Configuration

• Make sure that there is an agent (node) in Jenkins configured with the label jenkins-agent.

• Go to Manage Jenkins > Manage Nodes and Clouds and verify if there is a node with this label. If not, create a new one with the required label.

2. Verify the Pod Template Configuration

Since you're using a podTemplate, ensure that it is correctly defined. For example, in your pipeline, the label should match what is available in the podTemplate configuration. If you are using Kubernetes-based agents, you might want to ensure the template is correctly linked to the node label.

Example configuration:

groovy
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podTemplate(label: 'jenkins-agent', containers: [
    containerTemplate(name: 'jnlp', image: 'jenkins/inbound-agent', args: '${computer.jnlpmac} ${computer.name}')
]) {
    node('jenkins-agent') {
        // Your build steps here
    }
}

3. Check for Resource Availability

• It’s also possible that there are no available resources (like Kubernetes pods) to schedule the agent. Check your cloud or Kubernetes cluster for available resources.

• If you're using Kubernetes, ensure that your cluster has enough capacity to schedule the agent.

4. Pod Template Deprecation Warning

• The warning about the label option being deprecated suggests that you might want to use the inheritFrom option instead, as per Jenkins' latest changes. Ensure you are using the latest syntax for Kubernetes agents in Jenkins pipelines.

Example for inheritFrom:

groovy
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podTemplate(inheritFrom: 'jenkins-agent', containers: [
    containerTemplate(name: 'jnlp', image: 'jenkins/inbound-agent', args: '${computer.jnlpmac} ${computer.name}')
]) {
    node {
        // Your build steps here
    }
}

5. Jenkins Master-Agent Communication

• Ensure that Jenkins master can properly communicate with the agent or Kubernetes nodes.

• Check for any connectivity issues or misconfigurations in the Jenkins master.

Would you like help with any specific part of the configuration or logs to narrow this down further?

It looks like you've uploaded a screenshot of your Jenkins pod template configuration. From the image, it seems that the label jenkins-agent is set correctly, but I can't see other details such as the container configuration or YAML definition.

To ensure this works properly, please double-check these points in the configuration:

1. Pod Template Name: The name should be something like jenkins-agent, and it looks like you've set it properly here.

2. Label: The label jenkins-agent should match the label specified in your pipeline script where you’re calling the pod. In your pipeline, ensure the node step is using this label.

3. Container Name: If you are running a container as part of this template (like a Jenkins agent container), ensure that you’ve defined it correctly. From the screenshot, the container field is empty. You would typically need something like:

   • Container name: jnlp

   • Container image: A valid Jenkins agent image like jenkins/inbound-agent.

4. Usage: The setting "Use this node as much as possible" seems appropriate, but it’s worth checking that it fits your cluster's needs.

5. YAML Merge Strategy: You're overriding the YAML settings. Ensure that if any Kubernetes YAML settings are needed for the agent, they’re included in the "Raw YAML for the Pod" field.

6. Image Pull Secrets: If you’re using a private registry to pull the image, ensure the correct secrets are added.

If you confirm that the template has a valid container setup (with the appropriate image), and your pipeline specifies label: 'jenkins-agent' in the podTemplate step, the agent should be scheduled correctly. Let me know if you'd like me to assist with more detailed configuration or YAML setup!

Thanks for the clarification! Since you're not using a pod template and have your own Groovy-based Jenkins pipeline with Kubernetes, here's a more specific breakdown of potential issues and things to check:

Key Points to Check:

1. Kubernetes Configuration:
   In your pipeline, you're specifying the kubernetes agent with the label jenkins-agent. Ensure that you have a node in your Kubernetes cluster configured with this label. The Jenkins controller will look for a Kubernetes pod with that label.

   groovy
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   agent {
       kubernetes {
           label 'jenkins-agent'  // Make sure this label exists on your Kubernetes nodes
           defaultContainer 'jnlp'
           yamlFile "jenkins-agent.yaml"
       }
   }
   

   • What to check: Ensure that your jenkins-agent.yaml file is accessible and correctly points to a valid pod configuration in your Kubernetes cluster. The pod should have the jnlp container, which Jenkins uses to communicate with the master.

2. yamlFile Configuration:
   You're using the yamlFile "jenkins-agent.yaml" to define the Kubernetes pod configuration. Double-check that the jenkins-agent.yaml file is in the correct location and is being correctly accessed by Jenkins. It must define a valid Kubernetes pod setup.

   A typical jenkins-agent.yaml might look like:

   yaml
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   apiVersion: v1
   kind: Pod
   metadata:
     labels:
       jenkins: agent
   spec:
     containers:
     - name: jnlp
       image: jenkins/inbound-agent:latest
       args: ['$(JENKINS_URL)', '$(JENKINS_SECRET)', '$(JENKINS_AGENT_NAME)']
     - name: java
       image: openjdk:11-jre
       command:
         - cat
   

   • What to check: Ensure the container name (jnlp in this case) matches the defaultContainer set in the pipeline block, and that all required containers are specified correctly (such as your java container).

3. Kubernetes Plugin:

   • What to check: Ensure the Jenkins Kubernetes plugin is properly configured and able to create pods. Also, make sure your Kubernetes cloud is properly set up under Manage Jenkins > Configure System > Cloud > Kubernetes.

4. Jenkins Agent Connectivity:

   • The jnlp container needs to be able to connect to the Jenkins controller. Ensure that there are no firewall issues or misconfigurations in the Kubernetes cluster that prevent the jnlp agent from connecting back to Jenkins.

5. Container Definition:

   • In your pipeline, you're using a java container for the Maven build. Ensure that this container is properly defined in your jenkins-agent.yaml (if you're adding custom containers).

6. Pipeline Syntax:
   Ensure the syntax in your pipeline is correct for the Kubernetes agent. The container step inside the Hello stage should look something like this:

   groovy
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   container('java') {
       script {
           configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
               sh "chmod +x ${pwd()}/mvnw"
               sh "${pwd()}/mvnw clean install -s $MVN_SETTINGS -DskipTests"
           }
       }
   }
   

   This should use the java container defined in the pod configuration.

Summary of Actions:

• Check the jenkins-agent.yaml file: Ensure the yamlFile is properly defined and contains a valid pod spec, with the correct containers (jnlp and java).

• Verify the Kubernetes label: Make sure the Kubernetes agent node has the label jenkins-agent.

• Test connectivity: Ensure the jnlp agent can connect to Jenkins without any network/firewall issues.

• Verify Kubernetes setup: Check your Kubernetes plugin and cloud configuration in Jenkins to ensure proper integration.

If you've verified these and the problem persists, check the Jenkins logs for more detailed error messages about pod creation or container startup.

Your jenkins-agent.yaml configuration looks generally good, but there are a few things to verify and adjust to ensure smooth operation. Let's break it down:

1. Labels:

• The label in the metadata section (app: jenkins-agent) doesn't match the label you're specifying in your pipeline (label 'jenkins-agent'). You should make sure the label used in your jenkins-agent.yaml is the same one you are referencing in the pipeline.

Fix: Ensure consistency in the label name:

yaml
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metadata:
  labels:
    jenkins-agent: jenkins-agent

This should match the label 'jenkins-agent' in your pipeline.

2. Container Names:

• The defaultContainer in your pipeline is set to jnlp, which matches the name of the first container in the jenkins-agent.yaml file. This part is fine.

• The second container, java, is used in the pipeline within the container('java') block. Ensure that this container name exactly matches the one in your jenkins-agent.yaml.

3. Container command:

• The java container uses sleep infinity, which is fine for keeping the container alive for the entire pipeline execution. This is a typical pattern used for containers that run jobs or commands in other containers (like jnlp).

Note: If you'd like to run specific commands in the java container instead of using sleep, you can adjust it accordingly. But for your current usage, it should work as expected.

4. Volume Mounts:

• The volume mount is correctly set up with an emptyDir volume. This ensures that the workspace-volume is available across containers. However, ensure that the mount path /home/jenkins/agent is the correct path Jenkins expects for the agent's workspace.

5. Resources:

• The resource limits and requests are defined properly for both containers. Just ensure that these settings are within the available capacity of your Kubernetes cluster.

Final Adjusted jenkins-agent.yaml Example:

yaml
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apiVersion: v1
kind: Pod
metadata:
  labels:
    jenkins-agent: jenkins-agent  # Make sure the label matches the pipeline definition
  name: jenkins-agent
spec:
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  runAsUser: 0
  containers:
    - name: jnlp
      image: jenkins/inbound-agent:4.13.3-1
      tty: true
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent  # Ensure this is correct
    - name: java
      image: openjdk:17.0.1-jdk-slim
      command:
        - "sleep"
        - "infinity"  # Keeps the container alive, can run other commands if needed
      imagePullPolicy: Always
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
  volumes:
    - name: workspace-volume
      emptyDir: {}

6. Test and Verify:

• After ensuring the labels and settings are correct, test the pipeline again. If it still doesn’t schedule properly, check the Jenkins master logs and Kubernetes pod logs for further details.

• If you're using Kubernetes namespaces, make sure that the pod template is within the correct namespace as the pod needs to be created in the same namespace that Jenkins is configured to use.

Troubleshooting Steps if the Issue Persists:

1. Check the Jenkins logs for errors related to Kubernetes pod creation.

2. Inspect the Kubernetes events: Use kubectl get events to see if there are issues creating or scheduling the pod.

3. Confirm Node Availability: Ensure there are available nodes that match the jenkins-agent label.

Let me know if you encounter any further issues or need additional adjustments!

Thanks — this log is very informative and it clearly shows the root cause of your problem:

🚨 Root Cause:

❌ Agent version mismatch:

SEVERE: Agent version 3107.v665000b_51092 or newer is required.
java.io.IOException: Agent version 3107.v665000b_51092 or newer is required.

Your jnlp container is using:

yaml
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image: jenkins/inbound-agent:4.13.3-1

But your Jenkins controller (master) requires a newer version of the Jenkins remoting agent (agent.jar), specifically:

3107.v665000b_51092 or newer.

✅ Solution:

🔄 Update the jnlp container image in your YAML file to a newer version that includes the required remoting version.

Recommended image:

yaml
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image: jenkins/inbound-agent:3107.v665000b_51092-1

🔧 Updated jenkins-agent.yaml (partial):

yaml
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containers:
  - name: jnlp
    image: jenkins/inbound-agent:3107.v665000b_51092-1  # ✅ updated image
    tty: true
    resources:
      requests:
        memory: "256Mi"
        cpu: "250m"
        ephemeral-storage: "1Gi"
      limits:
        memory: "512Mi"
        cpu: "500m"
        ephemeral-storage: "2Gi"
    volumeMounts:
      - name: workspace-volume
        mountPath: /home/jenkins/agent

🔁 Then:

1. Push this updated YAML to your repo.

2. Trigger the Jenkins pipeline again.

3. Jenkins will spawn the pod with the correct version of the agent, and it should connect successfully.

🧠 Why this happens:

• Jenkins uses the remoting library to connect agents.

• When you upgrade Jenkins, it might require a newer agent version.

• If you use an old inbound-agent image, it ships with an old agent.jar, which fails to connect to the newer controller.

✅ Final Checklist:

Let me know if you want help finding the latest safe version of the jenkins/inbound-agent image!

Thanks for the updated log. You're now past the agent version issue — but you’ve hit a network connectivity problem between the jnlp container and your Jenkins controller:

🚨 Current Error:

vbnet
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java.io.IOException: Failed to connect to jenkins:5000
...
Caused by: java.net.ConnectException: Connection timed out

This means:

Your agent pod is trying to connect to the Jenkins master/controller at jenkins:5000, but it's unable to reach it.

🔍 Root Cause Analysis

By default, the Jenkins agent (in JNLP/inbound mode) must be able to connect to the controller over TCP, usually on port 50000 (not 5000!). Here's a breakdown:

So the key issues might be:

1. Incorrect port (very likely): You're trying to connect to port 5000, but Jenkins usually exposes the agent connection on port 50000.

2. Wrong service name or DNS resolution failure: If jenkins is not resolving correctly in the namespace.

3. Network restrictions: The pod cannot reach the Jenkins controller due to OpenShift NetworkPolicies, service exposure configs, or firewall rules.

4. Jenkins not exposing the JNLP port: Jenkins controller is not set up to expose the JNLP port.

✅ Fixes and Recommendations

✅ 1. Ensure Jenkins is listening on port 50000

Go to:

• Jenkins UI → Manage Jenkins → Configure Global Security

• Look for "Agents" section

• Ensure it is set to TCP port for inbound agents → Fixed at 50000

✅ 2. Set the correct JNLP port in your agent

You’re currently defaulting to port 5000 (wrong). You need to tell your Jenkins agents to connect to port 50000.

You can explicitly define it in the environment or entrypoint args.

Update your jenkins-agent.yaml jnlp container section like so:

yaml
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containers:
  - name: jnlp
    image: jenkins/inbound-agent:3107.v665000b_51092-1
    tty: true
    args: ['$(JENKINS_SECRET)', '$(JENKINS_NAME)', '-url', 'http://jenkins:8080']  # 👈 This avoids port 5000 entirely
    ...

This instructs the agent to connect via HTTP on port 8080, and Jenkins will internally upgrade the connection via the WebSocket or HTTP tunnel.

✅ 3. Alternative: Use WebSocket instead of JNLP TCP

Modern Jenkins supports WebSocket agents, which don’t require opening TCP port 50000 at all (useful in cloud/firewalled environments like OpenShift).

Steps:

1. Enable WebSocket in Jenkins:

   • Manage Jenkins → Configure Global Security → Check Enable WebSocket

2. Use the inbound-agent image with WebSocket args.

You don’t even need port 50000 open in this case — much easier.

✅ 4. Check Kubernetes DNS & Networking

Ensure the agent pod can resolve and reach the Jenkins service (jenkins:8080 or jenkins:50000).

You can debug inside any container:

sh
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# From inside the agent pod:
nslookup jenkins
curl http://jenkins:8080
telnet jenkins 50000

🧪 Summary

Would you like me to provide a final working YAML snippet using the -url method or WebSocket approach?

You're hitting another critical compatibility issue, this time related to Java versions:

🚨 Root Cause:

❌ UnsupportedClassVersionError:

pgsql
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hudson/slaves/SlaveComputer$SlaveVersion has been compiled by a more recent version of the Java Runtime (class file version 61.0),
this version of the Java Runtime only recognizes class file versions up to 55.0

This error means:

• The Jenkins controller has classes compiled with Java 17 (class file version 61.0)

• But your jnlp container (Jenkins agent) is running on an older Java runtime — specifically Java 11 (class file version 55.0) or below

✅ Solution:

🔄 You must use a Jenkins agent container that runs Java 17 to be compatible with your Jenkins controller.

🔧 Fix: Use a Java 17-compatible inbound agent image

Update your jnlp container image in your YAML file to one that includes Java 17.

✅ Recommended base image:

yaml
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image: jenkins/inbound-agent:jdk17

This image includes:

• The correct remoting version

• Java 17 runtime

• Compatible with Jenkins versions that require class file version 61

✅ Final Updated jenkins-agent.yaml (snippet):

yaml
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containers:
  - name: jnlp
    image: jenkins/inbound-agent:jdk17  # ✅ Updated to Java 17
    tty: true
    args: ['$(JENKINS_SECRET)', '$(JENKINS_NAME)', '-url', 'http://jenkins:8080']
    resources:
      requests:
        memory: "256Mi"
        cpu: "250m"
        ephemeral-storage: "1Gi"
      limits:
        memory: "512Mi"
        cpu: "500m"
        ephemeral-storage: "2Gi"
    volumeMounts:
      - name: workspace-volume
        mountPath: /home/jenkins/agent

🔍 Optional: Confirm Java version in the container

You can exec into the running agent pod and check the Java version:

bash
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kubectl exec -it <pod-name> -c jnlp -- java -version

You should see:

python-repl
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java version "17.x.x"
...

✅ Summary of All Fixes (So Far)

Let me know if you'd like a complete, clean, final YAML for your agent setup!

You're now running into a permissions error related to Maven:

🚨 Error:

arduino
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mkdir: cannot create directory ‘//.m2’: Permission denied

This means:

• The Maven wrapper (mvnw) is trying to create ~/.m2 (i.e., in the home directory of the container user), but doesn't have permission.

• This is common when the container runs as a non-root user and $HOME is either unset or points to a location where the user doesn't have write access.

✅ Solutions:

✅ 1. Set the Maven local repository path manually

Modify your mvnw command in the pipeline to use a writable directory (e.g., under the Jenkins workspace):

groovy
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sh "./mvnw clean install -s $MVN_SETTINGS -DskipTests -Dmaven.repo.local=./.m2"

This tells Maven to use ./.m2 (inside your workspace) instead of the default ~/.m2.

You could also use $WORKSPACE/.m2 for full path:

groovy
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sh "./mvnw clean install -s $MVN_SETTINGS -DskipTests -Dmaven.repo.local=$WORKSPACE/.m2"

✅ 2. Set HOME to a writable location

You can explicitly export a writable HOME directory before running mvnw:

groovy
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sh """
    export HOME=\$WORKSPACE
    ./mvnw clean install -s $MVN_SETTINGS -DskipTests
"""

✅ 3. Change working directory for the Maven repo (alternative)

If you want to avoid using the default ~/.m2 entirely, mount a volume or use a known writeable path in your pod, such as:

• /home/jenkins/agent/.m2 if that path is available and writable

• /tmp/.m2 as a last resort

Example:

groovy
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sh "./mvnw clean install -s $MVN_SETTINGS -DskipTests -Dmaven.repo.local=/tmp/.m2"

🔧 Bonus: Make it part of your pipeline Groovy logic

You can modify your pipeline script like this:

groovy
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container('java') {
    script {
        configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
            sh """
                export HOME=\$WORKSPACE
                chmod +x ./mvnw
                ./mvnw clean install -s \$MVN_SETTINGS -DskipTests -Dmaven.repo.local=\$WORKSPACE/.m2
            """
        }
    }
}

✅ Summary

Let me know which approach fits your setup best, and I can help you plug it into your pipeline.

Sure! Here's a basic settings.xml for Maven that you can use — it's minimal, clean, and safe for most projects, especially for setting up with Jenkins.

✅ Basic settings.xml (Maven)

xml
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<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0 https://maven.apache.org/xsd/settings-1.0.0.xsd">
  
  <!-- Local repository location -->
  <localRepository>${user.home}/.m2/repository</localRepository>

  <!-- Plugin and dependency repositories -->
  <profiles>
    <profile>
      <id>default</id>
      <repositories>
        <repository>
          <id>central</id>
          <url>https://repo.maven.apache.org/maven2</url>
          <releases><enabled>true</enabled></releases>
          <snapshots><enabled>false</enabled></snapshots>
        </repository>
      </repositories>

      <pluginRepositories>
        <pluginRepository>
          <id>central</id>
          <url>https://repo.maven.apache.org/maven2</url>
          <releases><enabled>true</enabled></releases>
          <snapshots><enabled>false</enabled></snapshots>
        </pluginRepository>
      </pluginRepositories>
    </profile>
  </profiles>

  <activeProfiles>
    <activeProfile>default</activeProfile>
  </activeProfiles>

</settings>

📁 Where to place it in Jenkins?

If you're using it with Jenkins and configFileProvider, you:

1. Upload this file to Manage Jenkins → Managed Files → Add a new Config File → "Maven Settings File".

2. Use the fileId from there in your pipeline:

   groovy
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   configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
       sh "./mvnw clean install -s $MVN_SETTINGS -DskipTests -Dmaven.repo.local=$WORKSPACE/.m2"
   }
   

Let me know if you also need authentication to private Maven repos (like Nexus or Artifactory) — I can provide an extended settings.xml with server credentials.

If you updated the settings.xml, but you're still seeing this:

arduino
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mkdir: cannot create directory ‘//.m2’: Permission denied

Then the issue is not with settings.xml, but with where Maven is trying to write its local repository, which by default is:

bash
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$HOME/.m2/repository

And in your case, it appears $HOME is either:

• Not set

• Set to / (root), hence //.m2

• Set to a location the user cannot write to

✅ Final Fix — explicitly override the local repo location in your Jenkins pipeline:

You must use the -Dmaven.repo.local=... flag in your mvnw command to redirect the repo to a writable location.

✅ Recommended Update to Your Jenkinsfile:

Modify your Maven command as shown:

groovy
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sh """
    export HOME=\$WORKSPACE
    chmod +x ./mvnw
    ./mvnw clean install \
        -s $MVN_SETTINGS \
        -Dmaven.repo.local=\$WORKSPACE/.m2 \
        -DskipTests
"""

• ✅ This sets a writable $HOME

• ✅ It tells Maven to use $WORKSPACE/.m2 as the local repository

• ✅ Avoids trying to create /.m2 or //.m2 — which will always fail unless you're root

🧪 Want to see proof?

From within your Jenkins pod, you can log in and test:

bash
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kubectl exec -it <jenkins-agent-pod> -c java -- sh
echo $HOME
mkdir ~/.m2

You’ll likely see:

arduino
Copy code
/  # home is /
mkdir: cannot create directory ‘//.m2’: Permission denied

So again — the only clean and reliable solution is to override -Dmaven.repo.local.

✅ TL;DR – Do this now

Make sure your pipeline runs Maven like this:

groovy
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./mvnw clean install \
    -s $MVN_SETTINGS \
    -Dmaven.repo.local=$WORKSPACE/.m2 \
    -DskipTests

And the issue will go away.

Let me know if you want help embedding that directly in your current pipeline Groovy.

Alright, this one is tricky but here's what’s going on:

Your Maven command includes:

ruby
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-Dmaven.repo.local=/home/jenkins/agent/workspace/donation-portal_master/.m2

but the error is:

arduino
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mkdir: cannot create directory ‘//.m2’: Permission denied

Why is Maven still trying to create //.m2 when you specified the repo local as an absolute path?

Most likely, your Maven wrapper (mvnw) or some part of your build script or plugins is still trying to create ${user.home}/.m2 somewhere.

user.home is the Java system property that points to the user’s home directory, often derived from the environment variable HOME.

How to fix this for good:

1. Set the HOME environment variable explicitly

You need to set the environment variable HOME to a writable directory, for example, your workspace, so that any Java or Maven process using ${user.home} will go to a safe location.

2. Use the local repo override with the absolute path

You’re already doing this, so keep it!

Example Groovy snippet:

groovy
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container('java') {
    script {
        configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
            sh """
                export HOME=$WORKSPACE
                chmod +x ./mvnw
                ./mvnw clean install -s \$MVN_SETTINGS -Dmaven.repo.local=\$WORKSPACE/.m2 -DskipTests
            """
        }
    }
}

3. Make sure the directory exists

If the directory $WORKSPACE/.m2 does not exist, Maven might try to create it and fail if permissions are off.

You can create it before running Maven:

bash
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mkdir -p $WORKSPACE/.m2

Include this in your shell steps:

groovy
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sh """
    export HOME=$WORKSPACE
    mkdir -p \$WORKSPACE/.m2
    chmod +x ./mvnw
    ./mvnw clean install -s \$MVN_SETTINGS -Dmaven.repo.local=\$WORKSPACE/.m2 -DskipTests
"""

4. Check the user ID running the container

If the pod runs as a non-root user without write permissions to the workspace folder, that would cause permission denied.

You can check by running inside the container:

bash
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id
ls -ld $WORKSPACE

Make sure the user has write permissions on the workspace.

Summary:

If you want, I can help you rewrite your full pipeline step to include these fixes cleanly. Just ask!

Giving the Jenkins agent root privileges inside your Kubernetes pod is certainly a quick way to bypass permission issues, but it’s also riskier from a security perspective. If you’re okay with that tradeoff for now, here’s how you can do it safely:

How to run Jenkins agent container as root in your pod YAML

Add this to your pod spec (under spec):

yaml
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securityContext:
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0

Example:

yaml
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apiVersion: v1
kind: Pod
metadata:
  labels:
    app: jenkins-agent
  name: jenkins-agent
spec:
  securityContext:
    runAsUser: 0
    runAsGroup: 0
    fsGroup: 0
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  containers:
    - name: jnlp
      image: jenkins/inbound-agent:4.13.3-1
      tty: true
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
    - name: java
      image: openjdk:17.0.1-jdk-slim
      command:
        - "sleep"
        - "infinity"
      imagePullPolicy: Always
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
  volumes:
    - name: workspace-volume
      emptyDir: {}

Notes:

• This will run all containers in the pod as root (UID 0).

• If you want to run only certain containers as root, specify securityContext inside that container spec instead.

• Your Jenkins pod and containers will now have permission to write anywhere inside the pod’s filesystem.

Alternative: Run just the java container as root

If you want just the java container to run as root, do this inside the container spec:

yaml
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containers:
- name: java
  securityContext:
    runAsUser: 0
    runAsGroup: 0
    fsGroup: 0
  ...

After this, your existing pipeline should work without the mkdir permission denied errors.

If you want, I can help you modify your current jenkins-agent.yaml accordingly or help with security best practices later!

Your updated pod spec looks mostly good! Here are a few quick observations and suggestions:

What you did right:

• Set runAsUser: 0 at the pod level, so all containers run as root.

• Set the HOME environment variable explicitly for the jnlp container to /home/jenkins/agent — so Maven and Java will use that as user.home.

• Mount a writable emptyDir volume at /home/jenkins/agent — good for workspace and home directory.

A couple of suggestions for improvement:

1. Add runAsGroup and fsGroup for completeness and proper file permissions:

yaml
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spec:
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0

This ensures the primary group and filesystem group are root as well, avoiding any permission issues with mounted volumes.

2. Set the HOME environment variable also in the java container

You currently set HOME only in jnlp. If your Java container needs to do anything that relies on HOME, it’s good to keep that consistent:

yaml
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- name: java
  env:
    - name: HOME
      value: /home/jenkins/agent

3. Ensure your Jenkinsfile passes -Dmaven.repo.local=$WORKSPACE/.m2 and uses the same HOME

In your pipeline, to be safe:

groovy
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container('java') {
  script {
    configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
      sh """
        export HOME=\$WORKSPACE
        mkdir -p \$WORKSPACE/.m2
        chmod +x ./mvnw
        ./mvnw clean install -s \$MVN_SETTINGS -Dmaven.repo.local=\$WORKSPACE/.m2 -DskipTests
      """
    }
  }
}

Final notes:

• Running as root inside Jenkins agents is OK for many internal CI environments, but keep security in mind.

• Using emptyDir volume for workspace and home directory is standard practice.

• Confirm that the jnlp container image jenkins/inbound-agent:jdk17 matches your Jenkins master version to avoid version mismatch errors.

If you want, I can help you write a full Jenkins pipeline snippet that works with this pod config. Just say the word!

Sounds like a solid plan!

Just to clarify:

• Setting HOME and -Dmaven.repo.local is the most straightforward way to fix Maven’s permission issues.

• If that still doesn’t work, then explicitly setting M2_HOME or even MAVEN_OPTS environment variables to control Maven’s behavior can be a fallback.

Quick note on M2_HOME vs MAVEN_OPTS vs maven.repo.local:

• M2_HOME points to Maven installation directory (usually not needed if you use wrapper).

• MAVEN_OPTS lets you pass JVM options.

• -Dmaven.repo.local is specifically for changing the location of the local repository (where dependencies get downloaded).

Usually, setting HOME and -Dmaven.repo.local is enough to avoid the "Permission denied" errors.

If you want, I can help you craft a fallback solution with M2_HOME or MAVEN_OPTS too, just let me know! Otherwise, fingers crossed your current setup works perfectly. 🤞

Let me know how it goes or if you want me to assist with the next step!

Got it! Since you’re using the Maven Wrapper (mvnw), the important part is ensuring the local repository location and permissions are set correctly — and that the environment HOME variable points somewhere writable.

Here’s why it matters with Maven Wrapper:

• The wrapper uses whatever Maven version it downloads, but it still respects the local Maven repo location (~/.m2 by default).

• If HOME points to a location where the agent user cannot write to ~/.m2, Maven wrapper will fail.

• So, setting HOME to a writable directory (like your workspace) and passing -Dmaven.repo.local to your wrapper command ensures Maven writes dependencies somewhere it can.

Recommended Maven Wrapper command in your pipeline step:

bash
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export HOME=$WORKSPACE
mkdir -p $WORKSPACE/.m2
./mvnw clean install -s $MVN_SETTINGS -Dmaven.repo.local=$WORKSPACE/.m2 -DskipTests

This guarantees:

• Maven’s local repo is in the workspace folder.

• HOME is writable and consistent for Java/Maven.

Bonus: Set MAVEN_OPTS for extra control (optional):

If you want, you can also add:

bash
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export MAVEN_OPTS="-Dmaven.repo.local=$WORKSPACE/.m2"

But usually the -Dmaven.repo.local in the command line is enough.

TL;DR:

With Maven Wrapper:

• Set HOME environment variable to a writable directory in your pod/container.

• Use -Dmaven.repo.local pointing to a writable folder in your workspace.

• Make sure that folder exists (mkdir -p).

If you want me to, I can help write the exact pipeline snippet that works with your pod config and Maven Wrapper. Just say the word!

Your pod YAML looks very solid and almost ready to go! Just a couple of small tweaks to also set the HOME environment variable in the java container (so both containers see the same HOME), and you’re good.

Here is the updated YAML with that integration:

yaml
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apiVersion: v1
kind: Pod
metadata:
  labels:
    jenkins-agent: jenkins-agent
  name: jenkins-agent
spec:
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0
  containers:
    - name: jnlp
      image: jenkins/inbound-agent:jdk17
      tty: true
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
      env:
        - name: HOME
          value: /home/jenkins/agent
    - name: java
      image: openjdk:17.0.1-jdk-slim
      command:
        - "sleep"
        - "infinity"
      imagePullPolicy: Always
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      env:
        - name: HOME
          value: /home/jenkins/agent
  volumes:
    - name: workspace-volume
      emptyDir: {}

Summary of changes:

• Added env block inside the java container, setting HOME=/home/jenkins/agent.

Next steps for your Jenkinsfile Maven build step:

Make sure you have something like this in your pipeline:

groovy
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container('java') {
  script {
    configFileProvider([configFile(fileId: 'mvn_settings', variable: 'MVN_SETTINGS')]) {
      sh """
        export HOME=\$WORKSPACE
        mkdir -p \$WORKSPACE/.m2
        chmod +x ./mvnw
        ./mvnw clean install -s \$MVN_SETTINGS -Dmaven.repo.local=\$WORKSPACE/.m2 -DskipTests
      """
    }
  }
}

This setup should fix your permission issues, keep Maven happy, and ensure both containers have a consistent environment!

If you want me to review or help craft the Jenkinsfile snippet exactly, just ask!

Awesome, glad that worked! 🎉

Where to store your JAR for deployment?

Since your Jenkins agent pod is ephemeral (it gets destroyed after the job), you can’t keep the JAR inside the pod’s filesystem for later use. You’ll want to push or copy the JAR to some persistent location or artifact repository.

Here are common approaches:

1. Upload to Artifact Repository

• Nexus, Artifactory, or GitHub Packages are popular artifact repositories.

• Jenkins can upload the built JAR to one of these as a build artifact.

• Later, your deployment job or environment pulls the JAR from the repo.

Pros: Reliable, versioned storage, integrates well with pipelines.

2. Store as Jenkins Build Artifact

• Archive the JAR in Jenkins itself using archiveArtifacts.

• Jenkins keeps artifacts per build and you can download or deploy from them.

• Example step:

groovy
Copy code
archiveArtifacts artifacts: '**/target/*.jar', fingerprint: true

Pros: Easy, built-in Jenkins feature.

Cons: Not great for long-term storage or sharing between jobs.

3. Copy to a Persistent Storage Volume

• If you have a persistent volume (e.g., NFS, cloud storage) mounted on Jenkins agents or deployment servers, copy the JAR there.

• Your deploy job can pick it up from this persistent path.

4. Push to Docker Registry

• If your app runs in a container, you can package the JAR into a Docker image and push that image to a registry.

• Then deploy from the container image.

What do you want to do next?

• Want me to help you add artifact archiving in your Jenkins pipeline?

• Or help push the JAR to a specific repo or storage?

• Or package the app as Docker image?

Let me know!

Great question! Once you have your JAR built and stored (or ready in your workspace), the next step is to build a Docker image containing that JAR and then run it.

Basic flow to build and run your Docker image from the JAR:

1. Create a Dockerfile

This Dockerfile packages your JAR into a lightweight container.

Example Dockerfile (assuming your JAR is app.jar):

Dockerfile
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FROM openjdk:17-jdk-slim
WORKDIR /app
COPY target/app.jar app.jar
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "app.jar"]

• Adjust target/app.jar path to wherever your JAR is.

• EXPOSE is optional but useful to document your app’s port.

2. Build the Docker image in your pipeline

In your Jenkins pipeline, after Maven builds the JAR, add steps to build the Docker image.

Example snippet (assuming Docker CLI is available in your agent):

groovy
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stage('Build Docker Image') {
  steps {
    script {
      docker.build("your-image-name:${env.BUILD_NUMBER}", "-f Dockerfile .")
    }
  }
}

• Replace your-image-name with your Docker repository/image name.

3. Push the image to a registry (optional but recommended)

If you have a Docker registry (Docker Hub, ECR, GCR, etc.):

groovy
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stage('Push Docker Image') {
  steps {
    script {
      docker.withRegistry('https://registry.hub.docker.com', 'docker-credentials-id') {
        docker.image("your-image-name:${env.BUILD_NUMBER}").push()
      }
    }
  }
}

Make sure you configure Jenkins credentials for your registry.

4. Run the container

You can run the container on your deployment server or Kubernetes cluster:

• Docker CLI example:

bash
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docker run -d -p 8080:8080 your-image-name:<tag>

• Kubernetes example (simple pod manifest):

yaml
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apiVersion: v1
kind: Pod
metadata:
  name: myapp-pod
spec:
  containers:
  - name: myapp
    image: your-image-name:<tag>
    ports:
    - containerPort: 8080

Do you want help with:

• Writing a full Jenkins pipeline that builds, tags, and pushes the Docker image?

• Creating a Kubernetes deployment manifest for your container?

• Setting up Docker on your Jenkins agent to enable building images?

Just let me know what fits your use case!

Yes! B2I (Build-2-Image) is a common concept in OpenShift and other container platforms that support Source-to-Image (S2I) builds. Instead of writing Dockerfiles manually, B2I images let you build and assemble your application source code directly into a runnable container image.

What is a B2I image?

• It’s a base image with build scripts and environment to compile/build your app.

• You just provide your source code (like your Java project), and the B2I image builds the artifact (e.g., JAR) and creates the container image.

• It simplifies CI/CD because the build logic is encapsulated in the image.

For Java apps, especially with Maven, OpenShift offers images like:

• registry.access.redhat.com/redhat-openjdk-18/openjdk18-openshift

• registry.access.redhat.com/redhat-openjdk-17/openjdk17-openshift

• Or the community S2I Java images on Docker Hub or Quay.io like quay.io/openshift/origin-jenkins-agent-maven-35

How to use B2I with your Java app?

In OpenShift CLI, you might do:

bash
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oc new-app registry.access.redhat.com/redhat-openjdk-17/openjdk17-openshift~https://github.com/your-repo.git --context-dir=donation-backend/api-gateway

This:

• Uses the OpenJDK 17 B2I image,

• Clones your repo,

• Builds your app using Maven inside the image,

• Deploys the resulting image.

Advantages of B2I:

• No Dockerfile needed,

• Build and deployment is automated in one step,

• Uses consistent builder images maintained by OpenShift/Red Hat,

• Great integration with OpenShift Pipelines.

Do you want me to:

• Help create a Jenkins pipeline that triggers an OpenShift B2I build?

• Show how to create and customize a BuildConfig using B2I?

• Help with writing a Dockerfile alternative with B2I?

Just say the word!

Got it! You want to build the JAR separately (e.g., with Maven in Jenkins), then copy that JAR into a container image for running, without using B2I or building from source inside the image.

Here’s a simple approach:

1. Build your JAR with your existing pipeline (using Maven wrapper).

2. Create a Dockerfile that just copies the JAR into an OpenJDK base image and runs it.

Example Dockerfile

Dockerfile
Copy code
FROM openjdk:17-jdk-slim
WORKDIR /app
COPY your-app.jar app.jar
EXPOSE 8080
ENTRYPOINT ["java", "-jar", "app.jar"]

• Replace your-app.jar with the actual path to the built JAR file.

How to integrate into Jenkins pipeline?

After your Maven build stage, add:

groovy
Copy code
stage('Build Docker Image') {
  steps {
    script {
      // Copy the JAR from workspace to where the Dockerfile expects it
      sh 'cp donation-backend/api-gateway/target/your-app.jar .'
      
      // Build the Docker image
      docker.build("your-image-name:${env.BUILD_NUMBER}", ".")
    }
  }
}

How to run this image?

• Locally or on any container platform, run:

bash
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docker run -d -p 8080:8080 your-image-name:<tag>

Summary:

• You keep full control of building the JAR (Maven outside Docker).

• Docker image is lightweight and just copies that built JAR.

• No source code needed inside the container except the JAR.

If you want, I can help you write the complete Jenkinsfile or Dockerfile or commands to push and deploy this image. Just ask!

Gotcha! You want:

1. An image with both oc (OpenShift CLI) and helm installed, suitable for running in Jenkins agents or your pipeline.

2. Then, a BuildConfig in OpenShift to build and deploy your Docker image that copies your pre-built JAR.

Step 1: Image with oc and helm

There’s no official single image that bundles both oc and helm preinstalled, but you can create a custom image easily. Here’s a minimal Dockerfile you can use to build such an image:

Dockerfile
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FROM registry.access.redhat.com/openshift3/ose-cli:v4.12

# Install Helm (v3)
RUN curl -LO https://get.helm.sh/helm-v3.12.0-linux-amd64.tar.gz && \
    tar -zxvf helm-v3.12.0-linux-amd64.tar.gz && \
    mv linux-amd64/helm /usr/local/bin/helm && \
    chmod +x /usr/local/bin/helm && \
    rm -rf linux-amd64 helm-v3.12.0-linux-amd64.tar.gz

# Verify installs
RUN oc version && helm version

ENTRYPOINT ["/bin/bash"]

• This uses the official Red Hat OpenShift CLI image as base.

• Installs Helm 3.12 (you can change version as needed).

• Verifies installation.

You can build and push this image to your container registry:

bash
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docker build -t your-registry/oc-helm:latest .
docker push your-registry/oc-helm:latest

Step 2: OpenShift BuildConfig to build your Docker image

Assuming you have your source repo and a Dockerfile like the one we discussed (which copies your pre-built JAR):

Here’s a simple BuildConfig example for OpenShift:

yaml
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apiVersion: build.openshift.io/v1
kind: BuildConfig
metadata:
  name: my-java-app
spec:
  source:
    type: Git
    git:
      uri: 'https://github.com/your-org/your-repo.git'
      ref: master
    contextDir: 'donation-backend/api-gateway'
  strategy:
    type: Docker
    dockerStrategy:
      dockerfilePath: Dockerfile
  output:
    to:
      kind: ImageStreamTag
      name: 'my-java-app:latest'
  triggers:
    - type: GitHub
      github:
        secret: your-github-webhook-secret
    - type: ConfigChange
    - type: ImageChange

• contextDir: path to where your Dockerfile and JAR are relative to repo root.

• This assumes your Dockerfile will COPY the JAR from your source tree (target/your-app.jar) into the image.

• Output goes into an OpenShift ImageStreamTag named my-java-app:latest.

How to trigger the build?

• You can start it manually:

bash
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oc start-build my-java-app --follow

• Or via a webhook (GitHub webhook configured in OpenShift).

Integration with Jenkins pipeline:

• Use the custom Jenkins agent image (your-registry/oc-helm:latest).

• Use oc start-build to trigger the build.

• Use oc rollout commands or helm charts to deploy.

If you want, I can help you with:

• Jenkins pipeline script using this custom image.

• Full Dockerfile for your app.

• Helm chart or DeploymentConfig YAML for deploying the image.

Want me to draft those?

Looks like the OpenShift CLI base image registry.access.redhat.com/openshift3/ose-cli:v4.12 no longer exists or the tag is incorrect — the error says:

sql
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manifest unknown

What to do next?

Option 1: Use the official OpenShift client image from the new location

Red Hat has moved or deprecated older images, but you can try the new OpenShift Client image from registry.redhat.io instead:

Dockerfile
Copy code
FROM registry.redhat.io/openshift4/ose-cli:v4.12

• You may need to login to registry.redhat.io before pulling:

bash
Copy code
podman login registry.redhat.io
# or
docker login registry.redhat.io

Option 2: Use a community-maintained oc image

For example, quay.io/openshift-release-dev/ocp-v4.0-art-dev@sha256:... but those tags are less stable.

Option 3: Use oc binary install in your image

If you want a super simple base image (like ubi8 or ubuntu), install the oc client manually inside the image by downloading the binary:

Dockerfile
Copy code
FROM registry.access.redhat.com/ubi8/ubi:8.7

RUN curl -LO https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest/openshift-client-linux.tar.gz && \
    tar -xvf openshift-client-linux.tar.gz -C /usr/local/bin/ oc kubectl && \
    chmod +x /usr/local/bin/oc /usr/local/bin/kubectl && \
    rm -f openshift-client-linux.tar.gz

# Install Helm (optional)
RUN curl -LO https://get.helm.sh/helm-v3.12.0-linux-amd64.tar.gz && \
    tar -zxvf helm-v3.12.0-linux-amd64.tar.gz && \
    mv linux-amd64/helm /usr/local/bin/helm && \
    chmod +x /usr/local/bin/helm && \
    rm -rf linux-amd64 helm-v3.12.0-linux-amd64.tar.gz

ENTRYPOINT ["/bin/bash"]

This will give you an image with both oc and helm.

TL;DR

• Old Red Hat CLI image is deprecated or moved.

• Use new official Red Hat registry image registry.redhat.io/openshift4/ose-cli:v4.12 (requires login).

• Or build your own image with oc and helm binaries downloaded inside.

If you want, I can help you prepare a full Dockerfile with either approach! Just say which you prefer.

Your BuildConfig looks mostly good! Here's a quick review and a few tips to ensure it works as expected:

yaml
Copy code
apiVersion: build.openshift.io/v1
kind: BuildConfig
metadata:
  name: my-docker-build
spec:
  source:
    type: Git
    git:
      uri: https://github.com/rupesh-kallepelli/donation-portal.git
    contextDir: oc-images/docker   # This is the folder with your Dockerfile and oc/helm setup
  strategy:
    type: Docker
    dockerStrategy:
      dockerfilePath: Dockerfile
  output:
    to:
      kind: ImageStreamTag
      name: oc-tools:latest      # This will create an ImageStreamTag 'oc-tools:latest' in your OpenShift project

A few additional notes:

• ImageStream: Make sure the oc-tools ImageStream either exists or will be created by this build.

• Dockerfile Path: The dockerfilePath is relative to the contextDir folder, so if your Dockerfile is named Dockerfile inside oc-images/docker, this is perfect.

• Build Triggers: You might want to add triggers for automatic rebuilds when the Git repo changes or config changes. For example:

yaml
Copy code
  triggers:
    - type: GitHub
      github:
        secret: your-webhook-secret
    - type: ConfigChange
    - type: ImageChange

• Build Start: You can trigger this build manually by:

bash
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oc start-build my-docker-build --follow

If you want, I can help you write the Dockerfile inside oc-images/docker/Dockerfile that:

• Installs oc (OpenShift CLI)

• Installs helm

• Sets up any environment you want for your Jenkins agent

Want me to do that?

Authentication errors in OpenShift BuildConfigs are often related to one of these issues:

Common Causes & Fixes for Auth Errors in BuildConfig Git Access

1. Private Git Repo Authentication

• If your repo is private (GitHub, GitLab, etc.), OpenShift needs credentials to clone it.

• You must provide Git credentials in the BuildConfig.

How to fix:

• Create a secret with your Git credentials (SSH key or username/password/personal access token).

• Reference that secret in your BuildConfig.

Example for SSH key:

bash
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oc create secret generic git-ssh-secret --from-file=ssh-privatekey=~/.ssh/id_rsa --type=kubernetes.io/ssh-auth

Then update your BuildConfig:

yaml
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spec:
  source:
    type: Git
    git:
      uri: https://github.com/rupesh-kallepelli/donation-portal.git
    contextDir: oc-images/docker
    sourceSecret:
      name: git-ssh-secret

If you use HTTPS with username/password or token, create a generic secret with .git-credentials.

2. OpenShift Image Registry Authentication

• If your build is pushing to an image stream or registry requiring authentication, make sure the BuildConfig's service account has permission to push images.

You can verify this by:

bash
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oc get serviceaccount default -o yaml
oc describe rolebinding -n <namespace>

If your build is running under a service account with insufficient permissions, add the necessary role bindings.

3. Using OAuth or Token in Private Repo

• For GitHub personal access tokens (HTTPS):

bash
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oc create secret generic git-https-secret --from-literal=username=youruser --from-literal=password=yourtoken

Then:

yaml
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spec:
  source:
    sourceSecret:
      name: git-https-secret

Summary:

• If your repo is public, you usually do NOT need any secret.

• If your repo is private, create a secret with credentials and add sourceSecret to your BuildConfig.

• Ensure your build service account has correct permissions to push images.

If you want, share the exact error message and your BuildConfig YAML, I can help troubleshoot more precisely.

Thanks for the clarification — this error has nothing to do with Git authentication. You're getting an image pull error:

vbnet
Copy code
error: build error: failed to pull image: ... registry.access.redhat.com/openshift3/ose-cli:v4.12: manifest unknown

✅ Root Cause:

The image registry.access.redhat.com/openshift3/ose-cli:v4.12 does not exist anymore (deprecated/removed). The tag is invalid or the image has been moved.

✅ Solution: Use a working image with oc + helm

You have 2 options:

✅ Option 1: Use registry.redhat.io/openshift4/ose-cli:v4.12

This is the official new location for OpenShift CLI images:

Dockerfile
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FROM registry.redhat.io/openshift4/ose-cli:v4.12

🛑 Note: You must log in to registry.redhat.io to pull the image.

Use your Red Hat credentials:

bash
Copy code
podman login registry.redhat.io
# or
docker login registry.redhat.io

If your OpenShift cluster is properly configured, the internal builder will use an image pull secret to access Red Hat registries.

✅ Option 2: Use UBI and install oc & helm manually

If you want a self-contained, public image (no auth required), build your own:

Dockerfile
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FROM registry.access.redhat.com/ubi8/ubi-minimal:8.8

# Install dependencies
RUN microdnf install -y curl tar gzip && microdnf clean all

# Install oc (OpenShift CLI)
RUN curl -LO https://mirror.openshift.com/pub/openshift-v4/clients/ocp/latest/openshift-client-linux.tar.gz && \
    tar -zxvf openshift-client-linux.tar.gz -C /usr/local/bin/ oc kubectl && \
    chmod +x /usr/local/bin/oc /usr/local/bin/kubectl && \
    rm -f openshift-client-linux.tar.gz

# Install Helm
RUN curl -LO https://get.helm.sh/helm-v3.12.0-linux-amd64.tar.gz && \
    tar -zxvf helm-v3.12.0-linux-amd64.tar.gz && \
    mv linux-amd64/helm /usr/local/bin/helm && \
    chmod +x /usr/local/bin/helm && \
    rm -rf linux-amd64 helm-v3.12.0-linux-amd64.tar.gz

ENTRYPOINT ["/bin/bash"]

Then push it to your internal registry and use it in your pipelines or BuildConfigs.

🧪 Quick test

Try pulling the image manually from your workstation:

bash
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docker pull registry.access.redhat.com/openshift3/ose-cli:v4.12

If it fails (which it will), the image is gone.

✅ Final Tip

Update your Dockerfile and/or BuildConfig to not use the old ose-cli:v4.12 image. Either:

• Use registry.redhat.io/openshift4/ose-cli:v4.12 (if you have auth)

• Or build your own from UBI and install oc + helm inside

Want me to help you refactor your Dockerfile or push to an OpenShift registry?

Thanks for confirming — since you're on OpenShift Free Trial, you won’t have access to registry.redhat.io (it's behind Red Hat Subscription auth). That rules out using official ose-cli images directly.

But don’t worry — you can build your own public, unprivileged image with oc and helm and push it to Docker Hub or Quay.io, then use it in your builds or deployments without registry auth.

✅ Solution: Build Your Own oc + helm Tools Image

Here's a fully self-contained and public base image based on ubi8-minimal that includes both oc and helm.

🔧 Step 1: Create Dockerfile (e.g. in oc-images/docker/Dockerfile)

Dockerfile
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FROM registry.access.redhat.com/ubi8/ubi-minimal:8.8

# Install required packages
RUN microdnf install -y curl tar gzip && microdnf clean all

# Install OpenShift CLI (oc) + kubectl
ENV OC_VERSION=4.14.0
RUN curl -LO https://mirror.openshift.com/pub/openshift-v4/clients/ocp/${OC_VERSION}/openshift-client-linux.tar.gz && \
    tar -zxvf openshift-client-linux.tar.gz -C /usr/local/bin/ oc kubectl && \
    chmod +x /usr/local/bin/oc /usr/local/bin/kubectl && \
    rm -f openshift-client-linux.tar.gz

# Install Helm
ENV HELM_VERSION=3.12.0
RUN curl -LO https://get.helm.sh/helm-v${HELM_VERSION}-linux-amd64.tar.gz && \
    tar -zxvf helm-v${HELM_VERSION}-linux-amd64.tar.gz && \
    mv linux-amd64/helm /usr/local/bin/helm && \
    chmod +x /usr/local/bin/helm && \
    rm -rf linux-amd64 helm-v${HELM_VERSION}-linux-amd64.tar.gz

# Set PATH and default command
ENV PATH=$PATH:/usr/local/bin
ENTRYPOINT ["/bin/bash"]

This image will:

• Use public URLs to install oc, kubectl, and helm

• Avoid any registry that requires Red Hat credentials

• Be portable and OpenShift-ready

✅ Step 2: Build and Push to Public Registry (Quay or DockerHub)

Option 1: Using Docker Hub

bash
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docker build -t <your-dockerhub-username>/oc-tools:latest .
docker push <your-dockerhub-username>/oc-tools:latest

Option 2: Using Quay.io (recommended for OpenShift images)

bash
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docker build -t quay.io/<your-quay-username>/oc-tools:latest .
docker push quay.io/<your-quay-username>/oc-tools:latest

✅ Step 3: Use it in OpenShift BuildConfig or Jenkins

Update your BuildConfig or Jenkins agent template to use:

yaml
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image: quay.io/<your-username>/oc-tools:latest

This way, OpenShift won't need to authenticate against registry.redhat.io or registry.access.redhat.com.

✅ Optional: Want me to push the image for you?

If you're blocked or need it quickly, I can give you a public Quay.io image with both oc and helm installed.

Would you like that? Just say the word.

Your Pod definition looks solid and well-structured. You're doing exactly what’s needed: mounting the shared workspace and adding the oc-tools container to the Jenkins pod. Let's go over a few points to ensure everything works smoothly.

✅ Your Current Setup — Summary

You have:

• A jnlp container (for Jenkins communication)

• A java container (for builds)

• An oc-tools container (for OpenShift/Helm CLI)

• A shared volume (workspace-volume) mounted into all containers

• You're using the internal OpenShift image registry for oc-tools

🧠 Notes and Improvements

1. ✅ Ensure oc-tools image is already built and pushed

If you’re referencing this image:

yaml
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image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools

Make sure you:

• Successfully built the image with your BuildConfig

• Pushed it into the internal OpenShift registry

• Ran this to expose the registry if needed:

bash
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oc expose svc/image-registry -n openshift-image-registry

And allow your namespace (kallepelli-rupesh-dev) to push to it:

bash
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oc policy add-role-to-user system:image-builder system:serviceaccount:kallepelli-rupesh-dev:default

2. ✅ Add a volumeMount to oc-tools

Right now oc-tools doesn’t mount the workspace. You should add:

yaml
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      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent

So the container can access the workspace (e.g., .jar files from the build).

3. ✅ Optionally add tty and env for oc-tools

This makes debugging easier:

yaml
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      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent

✅ Final Example (Updated oc-tools container)

Here's the updated container block:

yaml
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    - name: oc-tools
      image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools
      command:
        - "sleep"
        - "infinity"
      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent

✅ Now What?

You can now use this container in your Jenkins pipeline:

groovy
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container('oc-tools') {
    sh 'oc version'
    sh 'helm version'
    sh 'oc apply -f deployment.yaml'
}

❓Need Help?

If you haven't yet built or pushed the oc-tools image, I can help you:

• Write the Dockerfile

• Set up the BuildConfig

• Push to internal or public registry

Just say the word.

Thanks for sharing the YAML again — you're very close, but there's a small typo in your oc-tools container:

❌ Issue

In this line:

yaml
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mountPath: /home/jenkins/agen

You accidentally typed agen instead of agent.

✅ Fixed & Formatted Version

Here is the corrected and properly formatted version of your pod spec:

yaml
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apiVersion: v1
kind: Pod
metadata:
  labels:
    jenkins-agent: jenkins-agent
  name: jenkins-agent
spec:
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0
  containers:
    - name: jnlp
      image: jenkins/inbound-agent:jdk17
      tty: true
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
      env:
        - name: HOME
          value: /home/jenkins/agent

    - name: java
      image: openjdk:17.0.1-jdk-slim
      command:
        - "sleep"
        - "infinity"
      imagePullPolicy: Always
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent

    - name: oc-tools
      image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools
      command:
        - "sleep"
        - "infinity"
      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent

  volumes:
    - name: workspace-volume
      emptyDir: {}

✅ Notes:

• All containers share the /home/jenkins/agent workspace.

• You're using runAsUser: 0, which gives root — just be cautious if you move this to production.

• This setup allows all three containers (jnlp, java, and oc-tools) to access the same files — useful for building and deploying JARs.

Let me know if you’d like to add:

• A workingDir

• A command to copy and run a JAR

• Integration with Helm/OCP CLI commands

Happy to help you plug it into your pipeline.

You're seeing this warning because not all containers in your pod have defined CPU and memory resource requests and limits, which is important in OpenShift (or Kubernetes in general) to:

• Prevent resource starvation

• Avoid "noisy neighbor" problems (where one pod eats up resources and affects others)

🔍 What’s missing?

From your YAML, only the oc-tools container is missing the resources: section. The other containers (jnlp, java) are already correctly defined.

✅ Recommended Fix

Add a resources block for the oc-tools container like this:

yaml
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    - name: oc-tools
      image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools
      command:
        - "sleep"
        - "infinity"
      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"

📌 Notes:

• These values match what you’ve used for the other containers.

• Adjust them higher/lower depending on what oc and helm will be doing (e.g. oc apply is light, but helm install with hooks can be heavier).

✅ Final Checklist

Apply the fix, and the warning should go away.

Let me know if you’d like a complete updated YAML.

You're seeing this SonarQube warning (S6865) because your Kubernetes pod has automountServiceAccountToken enabled by default, which can introduce security risks, especially if your container doesn’t actually need access to the Kubernetes API.

⚠️ Why This Warning Happens

By default, Kubernetes automounts a service account token (JWT) into every pod at:

swift
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/var/run/secrets/kubernetes.io/serviceaccount/token

This gives containers the ability to authenticate to the Kubernetes API, which is dangerous if not needed, especially for build or CI/CD pods like Jenkins agents.

✅ How to Fix It

If your pod (or a specific container) doesn't need to interact with the Kubernetes API, you should disable automounting the token by setting:

yaml
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automountServiceAccountToken: false

🔧 Example Fix in Your Pod Spec

Here's how to apply this to your full pod YAML:

yaml
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apiVersion: v1
kind: Pod
metadata:
  labels:
    jenkins-agent: jenkins-agent
  name: jenkins-agent
spec:
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0
  automountServiceAccountToken: false  # ✅ disables token mounting
  containers:
    # jnlp, java, oc-tools containers as before ...

✅ This change applies to all containers in the pod.

🧠 When Should You Leave It On?

Keep automountServiceAccountToken: true (default) only if:

• You need the pod to use kubectl or oc with cluster access without explicitly logging in.

• You are mounting the default service account for in-cluster service discovery.

✅ Alternative: Use Explicit ServiceAccount + RBAC

If you do need API access (e.g., oc or kubectl inside Jenkins steps), do not disable the token. Instead:

1. Create a dedicated ServiceAccount:

bash
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oc create serviceaccount jenkins-agent

2. Bind required RBAC roles:

bash
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oc adm policy add-role-to-user edit -z jenkins-agent

3. Reference the account in your pod spec:

yaml
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spec:
  serviceAccountName: jenkins-agent

That way, you're using least privilege, and still satisfying SonarQube.

✅ Summary

Let me know if you want help generating the full YAML with this fix included.

In OpenShift, artifacts (like your built .jar files, logs, or other output from Jenkins pipelines) aren’t stored automatically unless you explicitly define where and how to store them.

✅ Options to View or Store Artifacts in OpenShift + Jenkins

🧪 1. Inside the Jenkins Workspace (Temporary)

If you don’t persist anything, artifacts live inside the pod's ephemeral storage, usually here:

swift
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/home/jenkins/agent/workspace/<job-name>/

You can access this:

• In Jenkins UI: Job > Workspace

• Inside the pod: via oc rsh into the running Jenkins agent (if still alive)

🔴 These are deleted once the pod dies (e.g., after build).

📦 2. Archive Artifacts in Jenkins

To preserve .jar or other output files, add this to your Jenkins pipeline:

groovy
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post {
    success {
        archiveArtifacts artifacts: '**/target/*.jar', fingerprint: true
    }
}

• You’ll find them in the Jenkins job UI under “Archived Artifacts”.

• This is not stored in OpenShift, but inside Jenkins' persistent volume.

🗃️ 3. Push to an Object Store (e.g., S3, MinIO, Azure Blob)

For long-term storage:

• Use a container like oc-tools or java to copy to an external store:

groovy
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sh 'aws s3 cp target/my-app.jar s3://my-bucket/path/'

Or use OpenShift’s built-in object storage (if provided).

🐳 4. Bake into a Docker Image

If you're building a JAR to be deployed, you can:

1. Copy the JAR into your Docker context

2. Use a Dockerfile to build an image:

dockerfile
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FROM eclipse-temurin:17
COPY target/my-app.jar /app.jar
ENTRYPOINT ["java", "-jar", "/app.jar"]

Then define a BuildConfig or use Podman/Docker and push it.

📂 5. Use a Persistent Volume (PVC)

To persist artifacts inside OpenShift, mount a PVC to your Jenkins pod or agent:

yaml
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volumes:
  - name: artifact-storage
    persistentVolumeClaim:
      claimName: my-pvc

volumeMounts:
  - name: artifact-storage
    mountPath: /mnt/artifacts

Then copy artifacts there in your pipeline.

🧭 Summary

Would you like help adding archiveArtifacts to your pipeline, or storing into a specific place like a PVC or image?

Here’s a sample PersistentVolumeClaim (PVC) definition for a typical gp3 storage class (used on AWS-backed OpenShift clusters). This assumes your OpenShift cluster has access to a StorageClass named gp3.

✅ PVC YAML for gp3 StorageClass

yaml
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apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: jenkins-artifact-pvc
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 2Gi
  storageClassName: gp3

📌 Explanation:

🧪 To Create It:

Apply it using oc:

bash
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oc apply -f pvc-gp3.yaml

Then verify:

bash
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oc get pvc

🔗 Use in Jenkins Pod (Example)

To mount this PVC into your Jenkins agent pod:

yaml
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volumes:
  - name: artifact-storage
    persistentVolumeClaim:
      claimName: jenkins-artifact-pvc

containers:
  - name: java
    # ...
    volumeMounts:
      - name: artifact-storage
        mountPath: /mnt/artifacts

And in your Jenkins pipeline:

groovy
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sh 'cp target/*.jar /mnt/artifacts/'

Let me know if:

• You want a complete pod spec with this mounted

• Or want help setting up a shared PVC across builds

Here’s the full Jenkins agent pod YAML with your original containers (jnlp, java, oc-tools) and a mounted PVC using the gp3 storage class.

✅ Full Jenkins Agent Pod YAML with PVC

yaml
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apiVersion: v1
kind: Pod
metadata:
  name: jenkins-agent
  labels:
    jenkins-agent: jenkins-agent
spec:
  ttlSecondsAfterFinished: 3600
  restartPolicy: Never
  runAsUser: 0
  runAsGroup: 0
  fsGroup: 0
  automountServiceAccountToken: false
  volumes:
    - name: workspace-volume
      emptyDir: {}
    - name: artifact-storage
      persistentVolumeClaim:
        claimName: jenkins-artifact-pvc  # 🔄 Must be created first
  containers:
    - name: jnlp
      image: jenkins/inbound-agent:jdk17
      tty: true
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
        - name: artifact-storage
          mountPath: /mnt/artifacts
    - name: java
      image: openjdk:17.0.1-jdk-slim
      command:
        - "sleep"
        - "infinity"
      imagePullPolicy: Always
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
        - name: artifact-storage
          mountPath: /mnt/artifacts
    - name: oc-tools
      image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools
      command:
        - "sleep"
        - "infinity"
      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
        - name: artifact-storage
          mountPath: /mnt/artifacts

📌 Prerequisite: Create the PVC

You must create this PVC first:

yaml
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apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: jenkins-artifact-pvc
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 2Gi
  storageClassName: gp3

Apply it:

bash
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oc apply -f pvc-gp3.yaml

✅ Use in Jenkins Pipeline

To store your .jar:

groovy
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sh 'cp target/*.jar /mnt/artifacts/'

You can also archive or deploy it from there.

Let me know if you also want:

• A BuildConfig to create this image

• A Deployment that runs the JAR from the PVC

• Or if you'd prefer to bake the JAR into a container image directly

You're seeing this warning:

One or more containers do not have resources – this can cause noisy neighbor issues

That means some containers are missing defined CPU and memory resource requests/limits, which is a best practice in Kubernetes and especially important in OpenShift (even more so in multi-tenant environments like free trial clusters).

✅ ✅ Solution: Add resources for all containers

Looking at your previous pod spec, only some containers had resources defined, and the oc-tools container likely doesn't have them.

🔧 Updated oc-tools container with resources

Here’s how to add it:

yaml
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    - name: oc-tools
      image: image-registry.openshift-image-registry.svc:5000/kallepelli-rupesh-dev/oc-tools
      command:
        - "sleep"
        - "infinity"
      tty: true
      env:
        - name: HOME
          value: /home/jenkins/agent
      volumeMounts:
        - name: workspace-volume
          mountPath: /home/jenkins/agent
        - name: artifact-storage
          mountPath: /mnt/artifacts
      resources:
        requests:
          memory: "256Mi"
          cpu: "250m"
          ephemeral-storage: "1Gi"
        limits:
          memory: "512Mi"
          cpu: "500m"
          ephemeral-storage: "2Gi"

⚠️ Why it's important:

• Requests: Kubernetes uses them to schedule the pod on a node with enough available capacity.

• Limits: Enforces upper bounds to avoid abuse or crashes affecting neighbors.

• OpenShift especially expects resource quotas in managed clusters.

💡 Next Steps:

• Apply the updated pod definition with resource limits for all containers (jnlp, java, oc-tools)

• Confirm warning is resolved via oc describe pod <pod-name> or your YAML linter

Would you like me to regenerate the full pod YAML again with this fixed?

Sure! Here’s a basic Helm chart structure for deploying a Java application (e.g., a Spring Boot JAR app running in a container).

Minimal Helm chart for Java app

1. Chart directory structure

perl
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my-java-app/
├── Chart.yaml
├── values.yaml
├── templates/
│   ├── deployment.yaml
│   ├── service.yaml
│   └── _helpers.tpl

2. Chart.yaml

yaml
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apiVersion: v2
name: my-java-app
description: A Helm chart for deploying a Java application
type: application
version: 0.1.0
appVersion: "1.0.0"